Can artificial intelligence detect type 2 diabetes in women by evaluating the pectoral muscle on tomosynthesis: diagnostic study

Can artificial intelligence detect type 2 diabetes in women by evaluating the pectoral muscle on tomosynthesis: diagnostic study

Abstract Objectives This retrospective single-center analysis aimed to evaluate whether artificial intelligence can detect type 2 diabetes mellitus by evaluating the pectoral muscle on digital breast tomosynthesis (DBT). Material method An analysis of 11,594 DBT images of 287 consecutive female pati...

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書目詳細資料
Main Authors: Meltem M. Yashar, Ilayda Begum Izci, Fatma Zeynep Gungoren, Abdulkadir A. Eren, Ali A. Mert, Irmak I. Durur-Subasi
格式: Article
語言:English
出版: SpringerOpen 2024-03-01
叢編:Insights into Imaging
主題:
Artificial intelligence
Diabetes mellitus
Digital breast tomosynthesis
Glycosylated hemoglobin A1c
Pectoral muscle
在線閱讀:https://doi.org/10.1186/s13244-024-01661-4

因特網

https://doi.org/10.1186/s13244-024-01661-4

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